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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Ganjar Alfian, Muhammad Syafrudin, Imam Fahrurrozi, et al.
Computers (2022) Vol. 11, Iss. 9, pp. 136-136
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
Mahendran Botlagunta, Madhavi Devi Botlagunta, Myneni Madhu Bala, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 108
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Mamoona Humayun, Muhammad Ibrahim Khalil, Saleh Naif Almuayqil, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 403-403
Open Access | Times Cited: 54
Chemical profiling of volatile compounds of the essential oil of grey-leaved rockrose (Cistus albidus L.) and its antioxidant, anti-inflammatory, antibacterial, antifungal, and anticancer activity in vitro and in silico
Amine Elbouzidi, Mohamed Taibi, Salah Laaraj, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 22
BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches
Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access | Times Cited: 2
A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning
E. Sreehari, L. D. Dhinesh Babu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Optimized Stacking Ensemble Learning Model for Breast Cancer Detection and Classification Using Machine Learning
Mukesh Kumar, Saurabh Singhal, Shashi Shekhar, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13998-13998
Open Access | Times Cited: 53
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 33
Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100555-100555
Open Access | Times Cited: 14
Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm
Amreen Batool, Yung-Cheol Byun
IEEE Access (2024) Vol. 12, pp. 12869-12882
Open Access | Times Cited: 13
Geographical origin identification of Khao Dawk Mali 105 rice using combination of FT-NIR spectroscopy and machine learning algorithms
Ravipat Lapcharoensuk, Chen Moul
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 318, pp. 124480-124480
Closed Access | Times Cited: 10
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 2, pp. 163-182
Closed Access | Times Cited: 9
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 22
A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification
K Thirumoorthy, J. Jerold John Britto
Applied Soft Computing (2023) Vol. 146, pp. 110704-110704
Closed Access | Times Cited: 21
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 21
The Effect of Feature Selection on the Accuracy of X-Platform User Credibility Detection with Supervised Machine Learning
Nahid R. Abid-Althaqafi, Hessah A. Alsalamah
Electronics (2024) Vol. 13, Iss. 1, pp. 205-205
Open Access | Times Cited: 7
Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals
Purnata Saha, Ali K. Ansaruddin Kunju, Molla E. Majid, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106002-106002
Closed Access | Times Cited: 7
A contemporary review of breast cancer risk factors and the role of artificial intelligence
Orietta Nicolis, Denisse De Los Angeles, Carla Taramasco
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 7
Wind turbine fault detection and identification using a two-tier machine learning framework
Zaid Allal, Hassan Noura, Flavien Vernier, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200372-200372
Open Access | Times Cited: 6
Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach
Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, et al.
Baghdad Science Journal (2024) Vol. 21, Iss. 2(SI), pp. 0812-0812
Open Access | Times Cited: 5
Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model
Furqan Rustam, Ahmad Sami Al-Shamayleh, Rahman Shafique, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model
Md. Sohanur Rahman, Hasib Rahman, Johayra Prithula, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1948-1948
Open Access | Times Cited: 11
Two-stage imbalanced learning-based quality prediction method for wheel hub assembly
Tianyue Wang, Tao Peng, Bingtao Hu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102309-102309
Closed Access | Times Cited: 11
A multi-MLP prediction for inventory management in manufacturing execution system
Love Allen Chijioke Ahakonye, Ahmad Zainudin, Md Javed Ahmed Shanto, et al.
Internet of Things (2024) Vol. 26, pp. 101156-101156
Open Access | Times Cited: 4
Retinal Nerve Fiber Layer Analysis Using Deep Learning to Improve Glaucoma Detection in Eye Disease Assessment
Alifia Revan Prananda, Eka Legya Frannita, Augustine Herini Tita Hutami, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 37-37
Open Access | Times Cited: 18
Content-based image retrieval for medical diagnosis using fuzzy clustering and deep learning
Dhanya K. Sudhish, Latha R. Nair, S. Shailesh
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105620-105620
Closed Access | Times Cited: 10
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